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Google Cloud Run Serverless Workshop

Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution.

Anthos: Service Mesh

This intermediate-level quest is unique among Qwiklabs quests. These labs have been curated to give operators hands-on practice with Anthos—a new, open application modernization platform on GCP. Anthos enables you to build and manage modern hybrid applications. Tasks include: installing service mesh, collecting telemetry, and securing your microservices with service mesh policies. This quest is composed of labs targeted to teach you everything you need to know to introduce service mesh, and Anthos, into your next hybrid cloud project.

DevOps Essentials

Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this quest you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five multiple-choice question quiz and find out!

Applied Data: Blockchain

Blockchain and related technologies such as distributed ledger and distributed apps are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. As this Quest utilizes advanced SQL in BigQuery, we've added a SQL-in-BigQuery refresher lab at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

Cloud Healthcare API

Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies, Cloud Healthcare API connects your data to advanced Google Cloud capabilities, including streaming data processing with Cloud Dataflow, scalable analytics with BigQuery, and machine learning with Cloud Machine Learning Engine. In this Quest you will use the Cloud Healthcare API to ingest and process data in the industry standard FHIR, HL7v2 and DICOM formats, train a TensorFlow model for prediction with FHIR data, and also gain practice with de-identification of datasets.

OK Google: Build Interactive Apps with Google Assistant

With Google Assistant expected to be part of over a billion consumer devices by the end of this year, this Quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. Over the course of 5 labs, you will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required -- these labs use the cloud-based Google Assistant simulator environment for developing and testing -- but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.

Optimizing Your GCP Costs

Esta es la segunda Quest de una serie de dos partes sobre los conceptos básicos de la administración de costos y facturación de GCP. Está destinada principalmente a personas que trabajen en Finanzas o TI, y que estén a cargo de optimizar la infraestructura de nube de sus organizaciones. Aquí aprenderá distintas maneras de controlar y optimizar los costos de GCP, lo que incluye cómo establecer presupuestos y alertas, administrar límites de cuota y aprovechar los descuentos por compromiso de uso. En los labs prácticos, podrá practicar con distintas herramientas para controlar y optimizar los costos de GCP, o bien convencer a los equipos encargados de la tecnología de emplear las prácticas recomendadas sobre optimización de costos.

Novedades

Un recorrido por Qwiklabs y Google Cloud Platform

En este primer lab práctico, accederá a Qwiklabs y a Google Cloud Platform Console, y usará características básicas de GCP: proyectos, recursos, usuarios de IAM, funciones, permisos, API y Cloud Shell.

Cómo crear una máquina virtual

En este lab práctico, aprenderá a crear una máquina virtual de Google Compute Engine y comprenderá qué son las zonas y las regiones, y cuáles son los tipos de máquina. Si desea obtener un avance sobre el tema, mire este video breve: Create a Virtual Machine, GCP Essentials

Cómo comenzar a usar Cloud Shell y gcloud

En este lab práctico, aprenderá a conectarse a recursos de procesamiento alojados en Google Cloud Platform mediante la Web. Asimismo, aprenderá a utilizar Cloud Shell y el comando de gcloud del SDK de Cloud. Si desea obtener un avance sobre el tema, mire este video breve: Get Started with Cloud Shell, GCP Essentials.

Cómo configurar balanceadores de cargas de red y HTTP

En este lab práctico, aprenderá a configurar balanceadores de cargas de red y HTTP para sus aplicaciones que se ejecutan en máquinas virtuales de Google Compute Engine. Si desea obtener un avance sobre este tema, mire este video breve: Set Up Network & HTTP Load Balancers, GCP Essentials.

Tendencias

Serverless Compute: Microservices with Cloud Functions

In this lab you create a series of Cloud Functions that provide widget processing services

Tendencias

Introduction to AWS Service Catalog

In this lab, you will build an AWS Service Catalog portfolio and place three products into the SC portfolio as an AWS Service Catalog Administrator. You will also experience end-user engagement with the AWS Service Catalog by signing in as an end-user and launching two of the products that you created.

Tendencias

Hello Cloud Run

In this lab you'll learn how to get started with Cloud Run by deploying and running a stateless container serverless-ly (with the infrastructure abstracted away).

Calificación alta

Hardening Default GKE Cluster Configurations

This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

Calificación alta

Running a Node.js Container on Google Kubernetes Engine

Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.

Calificación alta